A precision longevity institute targeting high-net-worth patients faced a constraint that broke every conventional AI architecture: a national data-residency law forbids sending patient data outside the country's infrastructure.
That ruled out every hosted foundation-model API on the market. An incumbent vendor had already burned 12 months on the problem and produced no code or artifacts the institute's team could build on. With a clinic launch date fixed, the institute needed clinical-grade AI that regulators, clinicians, and compliance officers could all sign off on.
Lazer replaced the incumbent vendor and built three production AI products on a shared platform, an in-clinic biomarker display, a clinician authoring CMS, and a patient mobile app, all wired to a 24-endpoint FHIR R4 engine, with a self-hosted 70B clinical LLM orchestrated through LangGraph and a per-patient care-team chat.
No patient data leaves in-country infrastructure, and the platform satisfies hundreds of national healthcare security controls, turning the region's hardest regulatory constraint into a deployable architecture.
An in-clinic display experience, a clinician authoring CMS, and a patient mobile app all ship from a shared FHIR R4 engine, where the prior vendor's 12-month effort produced nothing usable.
Lazer hardened the platform for clinical launch with extensive automated testing and security remediation, with clinician takeover and full audit on every AI interaction.
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